Bayesian Fault Diagnosis Using Principal Component Analysis Approach with Continuous Evidence.
Wenbing ZhuZixuan LiSun ZhouGuoli JiPublished in: ITITS (1) (2015)
Keyphrases
- fault diagnosis
- principal component analysis
- expert systems
- neural network
- fault detection
- dempster shafer evidence theory
- fault detection and diagnosis
- bp neural network
- operating conditions
- gas turbine
- electronic equipment
- multiple faults
- rotating machinery
- electrical power systems
- condition monitoring
- analog circuits
- fuzzy logic
- power transformers
- industrial systems
- rbf neural network
- chemical process
- monitoring and fault diagnosis
- failure diagnosis
- face recognition
- power plant
- fault detection and isolation
- fault identification
- machine learning
- soft computing methods
- data mining
- multi sensor information fusion
- dempster shafer theory
- industrial processes
- rough sets
- artificial intelligence
- genetic algorithm